Dynamics of EEG Entropy: beyond signal plus noise
专题命中 EEG解码 :EEG(title,abstract)
Comments Does the signal plus noise paradigm apply to Electroencephalograms? Detrended Fluctuations Analysis vs Diffusion Entropy
科学与医疗
脑机接口、EEG、神经信号解码、神经假体和脑控交互。
专题命中 EEG解码 :EEG(title,abstract)
Comments Does the signal plus noise paradigm apply to Electroencephalograms? Detrended Fluctuations Analysis vs Diffusion Entropy
专题命中 EEG解码 :EEG(title,abstract)
Comments Published in at http://dx.doi.org/10.1214/08-AOAS185 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Journal ref Annals of Applied Statistics 2008, Vol. 2, No. 4, 1432-1451
专题命中 EEG解码 :EEG(title,abstract)
Comments 27 pages, 6 figures
专题命中 EEG解码 :EEG(title,abstract)
Comments 9 pages, 8 figures
Journal ref Brain Topography, vol. 11, no. 3, pp. 201, 1999
专题命中 EEG解码 :EEG(title,abstract)
Comments 55 PostScript pages, including 6 figures
Journal ref Mathematical Computer Modelling 27 (1998) 33-64
专题命中 EEG解码 :EEG(title,abstract)
Comments 5 PostScript pages
专题命中 EEG解码 :EEG(title,abstract)
专题命中 EEG解码 :EEG(title,abstract)
专题命中 EEG解码 :EEG(title,abstract)
Comments 44 pages, 10 pages of figures
专题命中 EEG解码 :EEG(title);分类 q-bio.NC、cs.HC;brain-computer interface(comments)
Comments Submitted to 2022 10th IEEE International Winter Conference on Brain-Computer Interface
基于皮层脑电图的帕金森病分类中改善领域泛化的交换对抗框架
机构 * Department of Computer Science and Engineering, Incheon National University(仁川国立大学计算机科学与工程系) ; Department of Nanobioengineering, Incheon National University(仁川国立大学纳米生物工程系) ; Center for Brain-Machine Interface, Incheon National University(仁川国立大学脑机接口中心) ; Department of Artificial Intelligence, Inha University(仁荷大学人工智能系)
专题命中 EEG解码 :EEG(abstract,abstract_cn);brain-computer interface(abstract);分类 cs.LG
AI总结 提出交换对抗框架,通过脑图引导的通道交换和领域对抗学习,缓解皮层脑电图数据的高变异性与小样本问题,实现跨被试、跨会话和跨数据集的鲁棒泛化。
UniMind: 激活大型语言模型的统一多任务脑解码能力
专题命中 EEG解码 :EEG(abstract,abstract_cn);neural signal(abstract);分类 cs.HC
AI总结 UniMind通过引入大型语言模型解码复杂神经模式,提升多任务脑解码的泛化能力,实验表明其在十个数据集上平均提升12%。
Comments 19pages,4 figures
FedSPDnet: 具有SPDnet的几何感知联邦深度学习
专题命中 EEG解码 :EEG(abstract,abstract_cn);motor imagery(abstract);分类 cs.LG
AI总结 本文提出两种联邦学习框架,用于在对称正定矩阵上运行经典SPDnet模型,通过ProjAvg和RLAvg策略保持几何结构,提升信号处理应用的联邦学习性能。
协方差密度神经网络
机构 * Computer and Information Sciences, University of Strathclyde(斯特拉思克莱德大学计算机与信息科学系)
专题命中 EEG解码 :brain computer interface(abstract);EEG(abstract);motor imagery(abstract);分类 cs.LG
AI总结 本文提出协方差密度神经网络,通过构建密度矩阵提升模型性能,增强鲁棒性并实现更好的泛化能力,在脑机接口任务中表现优异。
Journal ref Transactions on Machine Learning Research (TMLR) 03/2026 issn=2835-8856
专题命中 EEG解码 :BCI(abstract);brain-computer interface(abstract);EEG(abstract);分类 cs.HC
Comments 34 pages, 8 figures, 6 tables
机构 * Lahore University of Management Sciences(拉瓦尔大学管理科学学院) ; Forman Christian College, University(法曼基督教学院,大学) ; Arbisoft(阿里软件)
专题命中 EEG解码 :brain-computer interface(abstract);EEG(abstract);motor imagery(abstract);分类 cs.LG
Comments Accepted at MICCAI 2025. This is the submitted version prior to peer review. The final Version of Record will appear in the MICCAI 2025 proceedings (Springer LNCS)
机构 * CITIC-UGR University of Granada(CITIC-UGR格拉纳达大学) ; Epilepsy Centre, Dept. Clinical Sciences Lund University Hospital(癫痫中心,临床科学系隆德大学医院) ; School of Computing Science and Engineering VIT Bhopal University(计算科学与工程学院VIT博帕尔大学)
专题命中 EEG解码 :brain-computer interface(abstract);EEG(abstract);neural decoding(abstract);分类 cs.HC
专题命中 EEG解码 :BCI(abstract);brain-computer interface(abstract);EEG(abstract);分类 cs.HC
Comments This paper is presented in the Undergraduate Conference on Intelligent Computing and Systems (UCICS 2025) organised by Varendra University, Rajshahi, Bangladesh, 2025
专题命中 EEG解码 :BCI(abstract);brain computer interface(abstract);cortical(abstract);分类 cs.HC
专题命中 EEG解码 :BCI(abstract);brain-computer interface(abstract);EEG(abstract);分类 eess.SP
Comments We decided to redraw the manuscript because of the multi-error in the paper due to poor writing and inspection
专题命中 EEG解码 :BCI(abstract);brain-computer interface(abstract);EEG(abstract);分类 cs.HC
专题命中 EEG解码 :BCI(abstract);brain-computer interface(abstract);EEG(abstract);分类 q-bio.NC
专题命中 EEG解码 :BCI(abstract);brain-computer interface(abstract);EEG(abstract);分类 q-bio.NC
Comments 12 pages, 13 figures
专题命中 EEG解码 :BCI(abstract);brain-computer interface(abstract);EEG(abstract);分类 cs.HC
Comments This paper is submitted to the ICT Express Journal
专题命中 EEG解码 :BCI(abstract);brain-computer interface(abstract);EEG(abstract);分类 cs.LG
专题命中 EEG解码 :BCI(abstract);brain-computer interface(abstract);EEG(abstract);分类 cs.HC
Comments 4 pages, 2 figures
专题命中 EEG解码 :BCI(abstract);brain computer interface(abstract);EEG(abstract);分类 cs.HC
Comments 50 pages including 6 figures and 4 tables
专题命中 EEG解码 :BCI(abstract);brain-computer interface(abstract);EEG(abstract);分类 cs.HC
Comments 12 pages, 3 figures
专题命中 EEG解码 :BCI(abstract);brain-computer interface(abstract);EEG(abstract);分类 eess.SP
专题命中 EEG解码 :BCI(abstract);EEG(abstract);cortical(abstract);分类 cs.HC
Journal ref J. Neural Eng. 18 046022 (2021)